Function _validate_not_empty

dynamic_programming/viterbi.py:217–245

>>> _validate_not_empty(["a"], ["b"], {"c":0.5}, ... {"d": {"e": 0.6}}, {"f": {"g": 0.7}}) >>> _validate_not_empty(["a"], ["b"], {"c":0.5}, {}, {"f": {"g": 0.7}}) Traceback (most recent call last): ... ValueError: There's an empty parameter >>> _validate_not_empt

(
    observations_space: Any,
    states_space: Any,
    initial_probabilities: Any,
    transition_probabilities: Any,
    emission_probabilities: Any,
)

def _validate_not_empty(
    observations_space: Any,
    states_space: Any,
    initial_probabilities: Any,
    transition_probabilities: Any,
    emission_probabilities: Any,
) -> None:
    """
    >>> _validate_not_empty(["a"], ["b"], {"c":0.5},
    ... {"d": {"e": 0.6}}, {"f": {"g": 0.7}})
    >>> _validate_not_empty(["a"], ["b"], {"c":0.5}, {}, {"f": {"g": 0.7}})
    Traceback (most recent call last):
            ...
    ValueError: There's an empty parameter
    >>> _validate_not_empty(["a"], ["b"], None, {"d": {"e": 0.6}}, {"f": {"g": 0.7}})
    Traceback (most recent call last):
            ...
    ValueError: There's an empty parameter
    """
    if not all(
        [
            observations_space,
            states_space,
            initial_probabilities,
            transition_probabilities,
            emission_probabilities,
        ]
    ):
        raise ValueError("There's an empty parameter")


def _validate_lists(observations_space: Any, states_space: Any) -> None: